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125 results for “Waterbirds”
Fig. 2 in New Records of Fossil 'Waterbirds' from the Miocene of Kenya
Fig. 2. New records of Miocene Kenyan waterbirds. Ciconia minor, incomplete proximal right humerus (KNM RU 3075) in cranial (A) and caudal (B) views; Ciconia sp., distal right humerus (KNH RU 3914) in cranial (C), caudal (D), and proximal (E) views; Ciconia minor, distal left tarsometatarsus (KNM RU 3898) in dorsal (F) and plantar (G) views; Anhinga cf. pannonica, proximal end of right humerus (KNM BN 1968) in cranial (H) and caudal (I) views. Not to scale, see text for measurements.
Fig. 1 in New Records of Fossil 'Waterbirds' from the Miocene of Kenya
Fig. 1. (Continued). BMNH A 4392—proximal end of tarsometatarsus in dorsal (R) and plantar (S) views; BMNH A 4393—distal end of right tarsometatarsus in dorsal (T) and plantar (U) views; BMNH A 4394—distal end of left tarsometatarsus in dorsal (V) and plantar (W) views; BMNH A 4395—distal end of right femur in caudal (X) and cranial (Y) views; BMNH A 4396—distal end of right tibiotarsus in cranial (Z) and caudal (Aa) views; BMNH A 4397—distal end of left tibiotarsus in cranial (Bb) and caudal (Cc) views; BMNH A 4398—distal end of left tibiotarsus in cranial (Dd) and caudal (Ee) views.
Fig. 1 in New Records of Fossil 'Waterbirds' from the Miocene of Kenya
Fig. 1. Fossil material referred to the Lower Miocene Kenyan flamingo Leakyornis aethiopicus (see Harrison and Walker, 1976). Not to scale. BMNH A 4382 (holotype)—portion of rostrum in dorsal view (A); BMNH A 4383—proximal end of right tarsometatarsus in plantar view (B); BMNH A 4384—distal portion of lower jaw in ventral view (C); BMNH A 4385—distal end of left humerus in cranial (D) and caudal (E) views; BMNH A 4386—distal end of right humerus in cranial (F) and caudal (G) views; BMNH A 4387—distal end of left humerus in cranial (H) and caudal (I) views; BMNH A 4388—proximal end of left humerus in (J) caudal and cranial (K) views; BMNH A 4389—proximal end of tarsometatarsus in plantar (L) and dorsal (M) views; BMNH A 4390—proximal end of tarsometatarsus in dorsal (N) and plantar (O) views; BMNH A 4391—proximal end of tarsometatarsus in plantar (P) and dorsal (Q) views.
Passage Railway Greenway Waterbird Survey, Winter 2020/21
<p>Waterbird surveys carried out for the Passage Railway Greenway project in winter 2020/21.</p>
Fig. 2. The most numerous RDB wetland birds species, recorded during August Counts 2018 and 2021 in The Red Data Book Waterbirds In The Coastal Wetlands Of The Azov-Black Sea Region Of Ukraine - The Results Of The August Counts 2018 And 2021
Fig. 2. The most numerous RDB wetland birds species, recorded during August Counts 2018 and 2021 (bar chart — amount of birds, line chart — number of sites were species was recorded).
Fig. 1 in The Red Data Book Waterbirds In The Coastal Wetlands Of The Azov-Black Sea Region Of Ukraine - The Results Of The August Counts 2018 And 2021
Fig. 1. Coverage of wetlands of Azov-Black Sea coast of Ukraine in 2018 and 2021 (yellow — 1 count, red — 2 counts). The numbers of the wetlands (1–40) correspond to those in table 3.
Fig. 3 in The Red Data Book Waterbirds In The Coastal Wetlands Of The Azov-Black Sea Region Of Ukraine - The Results Of The August Counts 2018 And 2021
Fig. 3. The most important wetlands for RDB wetland bird species according to August Counts 2018 and 2021 (bar chart — average amount of birds, line chart — number of the species recorded at the site).
Data from: Evaluating temporal and spatial transferability of a tidal inundation model for foraging waterbirds
Open the record for dataset details and reuse information.
Plant dispersal syndromes are unreliable as predictors of zoochory and long-distance dispersal by ungulates and waterbirds
<p>Plant dispersal syndromes are allocated based on diaspore morphology and used to predict mechanisms of dispersal. Many authors assume that only angiosperms with endozoochory, epizoochory or anemochory syndromes have a long-distance dispersal (LDD) mechanism. Too much faith is often placed in classical syndromes to explain historical dispersal events and to predict future ones. The "endozoochory syndrome" is actually a "frugivory syndrome" and has often diverted attention from endozoochory by non-frugivores (e.g. waterbirds and large herbivores) that disperse a broad range of angiosperms, for which they likely provide the maximum dispersal distances. Neither the endozoochory nor the epizoochory syndromes provide helpful predictions of which plants non-frugivores disperse, or by which mechanism. We combined data from Albert et al. (2015a), Soons et al. (2016) and Julve (1998) to show that only 4% of European plant species dispersed by ungulate endozoochory belong to the corresponding syndrome, compared to 36% for ungulate epizoochory and 8% for endozoochory by migratory ducks. In contrast, the proportions of these species that are assigned to an "unassisted syndrome" are 37%, 31% and 28%, respectively. Since allocated syndromes do not adequately account for zoochory, empirical studies often fail to find the expected relationship between syndromes and LDD events such as those underlying the colonization of islands or latitudinal migration. We need full incorporation of existing zoochory data into dispersal databases, and more empirical research into the relationship between plant traits and the frequency and effectiveness of different dispersal mechanisms (paying attention to unexpected vectors). Acknowledging the broad role of non-frugivores in facilitating LDD is crucial to improve predictions of the consequences of global change, such as how plant distributions respond to climate change, and how alien plants spread. Networks of dispersal interactions between these vertebrates and plants are a vital but understudied part of the Web of Life. The datasets we present here illustrate these limitations of syndromes, and include data from Brochet et al. (2010) regarding the syndromes of plants dispersed by Eurasian Teal via epizoochory or endozoochory.</p>
Fig. 1 in An Overview Of The Ecological Values Of Soumar Wetland On Waterbirds Diversity
Fig. 1. Geographical location of the Soumar wetland (Setif, Northeast Algeria).
Fig. 1 in Impact Of Coastal Wetland Restoration Strategies In The Chongming Dongtan Wetlands, China: Waterbird Community Composition As An Indicator
Fig. 1. Locationofthestudysites (A–D).
Fig. 1 in Waterbird Distribution Patterns And Environmentally Impacted Factors In Reclaimed Coastal Wetlands Of The Eastern End Of Nanhui County, Shanghai, China
Fig. 1. LocationofstudysitesinNanhuiCounty, Shanghai.
Nestedness theory suggests wetland fragments with large areas and macrophyte diversity benefit waterbirds
<p>Many artificial wetland constructions are currently underway worldwide to compensate for the degradation of natural wetland systems. Researchers face the responsibility of proposing wetland management and species protection strategies to ensure that constructed wetlands positively impact waterbird diversity. Nestedness is a commonly occurring pattern for biotas in fragmented habitats with important implications for conservation; however, only a few studies have focused on seasonal waterbird communities in current artificial wetlands. In this study, we used the nestedness theory for analyzing the annual and seasonal community structures of waterbirds in artificial wetlands at Lake Dianchi (China) to suggest artificial wetland management and waterbird conservation strategies. We carried out three waterbird surveys per month for one year to observe the annual, spring, summer, autumn, and winter waterbird assemblages in 27 lakeside artificial wetland fragments. We used the NeD program to quantify nestedness patterns of waterbirds at the annual and seasonal levels. We also determined Spearman partial correlations to examine the associations of nestedness rank and habitat variables to explore the factors underlying nestedness patterns. We found that annual and all four seasonal waterbird compositions were nested, and selective extinction and habitat nestedness were the main factors governing nestedness. Further, selective colonization was the key driver of nestedness in autumn and winter waterbirds. We suggest that the area of wetland fragments should be as large as possible and that habitat heterogeneity should be maximized to fulfill the conservation needs of different seasonal waterbirds. Furthermore, we suggest that future studies should focus on the least area criterion, and that vegetation management of artificial wetland construction should be based on the notion of sustainable development for humans and wildlife. </p>
Huntable UK waterbird data
<p>Life history characteristics, harvest data, population trends and conservation statuses of huntable waterbirds in the UK.</p> <p>Wintering bird populations for the UK were obtained from the latest published estimates (Frost et al. 2019). The estimate for mallard was increased by 2.6 million birds to account for the annual release of captive-raised birds for shooting purposes (Madden 2021). We estimated a standard deviation for the population estimates by averaging the Wetland Bird Survey (WeBS; Frost et al. 2021) index for each species for the winters 2012/13 – 2016/17, which corresponded to the period used to estimate duck populations. We treated this mean index as equal to the estimate from Frost et al. (2019) and then calculated population estimates for each year based on their WeBS indices and calculated the standard deviation of these estimates. Population estimates for greylag goose, pink-footed goose, golden plover, snipe and woodcock were based on single years, but the same time frame was applied to standard deviation estimates in order to account for any interannual differences. The latest (2016) harvest estimates and 95% confidence intervals were taken from Aebischer (2019). Species specific body mass was taken from Robinson (2005). Where sex-specific body mass was reported we averaged male and female masses.</p>
Using dietary metabarcoding analyses to characterise waterbirds-agriculture interactions
<p>Globally, the use of agricultural fields by waterbirds has increased, resulting in conflicts with farmers. Designing effective management strategies to resolve these conflicts requires understanding the species' resource use. Dietary analyses can shed light on the extent of consumption of agricultural crops and surrounding natural resources, as well as the potential relationship between diet and an individual's body condition and ultimately its fitness. We examined the dietary composition of the tropical magpie goose (<em>Anseranas semipalmata</em>), seasonally utilising a mixed natural-agricultural landscape of northern Australia. We used DNA metabarcoding of intestinal contents from hunted geese to reconstruct individual diets and evaluated body condition from morphometric measurements. We compared the relative contribution of agricultural and natural foods to dietary composition, and investigated how this contribution varied spatially, temporally, and among individuals that differed in body condition. We found that geese consumed both agricultural and naturally occuring plants assigned to at least 35 taxa. The most frequent and abundant taxa belonged to three families: Poaceae (grasses), Cyperaceae (sedges), and Anacardiaceae (mangoes). Dietary composition varied substantially among sampling sites and over time but not with body condition of geese. <em>Synthesis and applications</em>. We used a novel approach to investigate the diet of a waterbird perceived as problematic across an agricultural landscape in tropical Australia. We showed that individuals forage opportunistically, and that agricultural crops, while eaten, may not represent an essential part of geese diet across the study region. The knowledge acquired provides new insights into the species' foraging ecology offering clear alternatives for mitigating goose-agriculture interactions. Providing disturbance-free alternative foraging areas or minimising the attractiveness of targeted agricultural fields (e.g., shorter grass, alternative ground cover) may alleviate crop consumption while benefiting the species' long-term conservation. While also highlighting the limitations of DNA metabarcoding, our dietary study emphasises the potential of this methodology to improve our understanding of crop damage by wildlife, allowing effective evaluation of management requirements.</p>
Dataset for: Passive dispersal potential of medaka's egg by attaching to waterbirds
<p>Original datasets of dehydration experiments used for our work "Freshwater fish egg dispersal by attaching to waterbirds", (under review).</p> <p>Analytic codes are deposited in GitHub(https://github.com/yaoakifumi/Medaka-embryo-desication-tolerance).</p> <p>The manuscript is also deposited in bioRxiv.</p> <p>doi: https://doi.org/10.1101/2024.03.11.584339</p>
Fig. 4 in Importance Of Utliukskiy Liman For The Protection Of Waterbirds In The Azov-Black Sea Region During Autumn Migration
Fig. 4. The average number of different orders of waterbirds at Utliukskiy Liman in September.
Figure 1 in A comparison of the structure of 2 waterbird assemblages during postbreeding movements in the arid zone of Uzbekistan
Figure 1. Map of study area. Habitat sections are marked by dotted lines.
Figure 1 in Waterbirds of Arunachal Pradesh with special reference to high altitude rivers and wetlands
Figure 1. Map of the study Namdapha Tiger Reserve, Arunachal Pradesh.
Waterbird solves the cognitive string-pull test
<p>String-pulling is amongst the most widespread cognitive tasks used to test problem-solving skills in mammals and birds. The task requires animals to comprehend that pulling on a non-valuable string moves an otherwise inaccessible food reward to within their reach. Although at least 90 avian species have been administered the string-pull test, all but five of them were perching birds (passeriformes) or parrots (psittaciformes). Waterbirds (Aequorlitornithes) are poorly represented in the cognitive literature, yet are known to engage in complex foraging behaviours. In this study, we tested whether free-living ring-billed gulls (<i>Larus delawarensis</i>), a species known for their behavioural flexibility and foraging innovativeness, could solve a horizontal string-pull test. Here, we show that 25% (26/104) of the ring-billed gulls that attempted to solve the test at least once over a maximum of three trials were successful, and that 21% of them (22/104) succeeded during their first attempt. Ring-billed gulls are thus the first waterbird known to solve a horizontal single-string-rewarded string-pull test. Since innovation rate and problem-solving are associated with species' ability to endure environmental alterations, we suggest that testing the problem-solving skills of other species facing environmental challenges will inform us of their vulnerability in a rapidly changing world.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.